Different research groups within the Radboud University are working on AI related topics.
AC completely focuses on data analysis (chemometrics). They conduct research on methods which can obtain relevant information from chemical data.
Artificial Cognitive Systems
This research group studies the computational principles that underlie natural intelligence and uses these principles in the development of general-purpose artificial intelligence
Brain (Inspired) Computing
This group studies formal properties of novel brain-inspired computer architectures, with as ultimate goals to understand why the brain is so energy-efficient; to construct energy-lean algorithms for neuromorphic processors, and to know what problems are inherently energy-greedy to solve.
Brain Computer Interfacing
Brain Computer interfaces detect covert mental activity (often on the basis of single trials) and use that to control a device or present feedback.
Centre for Language and Speech Technology (CLST)
This centre has multiple groups working on speech technology, particularly on fundamental ASR technology and speech data. They have an expertise in the integration of rule-based and statistical processing of written language.
#Prof.Dr.Antal.van.den.Bosch #Prof.Dr.Mirjam.Ernestus #Dr.Henk.van.den.Heuvel
Cognitive Computational Neuroscience
The Kietzmann lab aims to understand the computational processes by which the brain and artificial agents can efficiently and robustly derive meaning from the world around us.
Research concerns machine learning and AI in general, with applications in (among others) natural sciences, health, information retrieval, and industry.
#Prof.Dr.Elena.Marchiori #Prof.Dr.Tom.Heskes #Prof.Dr.Martha.Larson #Prof.Dr.Ir.Arjen.de.Vries #Prof.Dr.Ir.Sjoerd.Hiemstra #Prof.Dr.Ir.David.van.Leeuwen
Diagnostic Image Analysis Group (DIAG)
The DIAG develops computer algorithms to aid clinicians in the interpretation of medical images and thereby improve the diagnostic process.
Dynamic and naturalistic cognitive neuroscience
In the Dynamic and Naturalistic Cognitive Neuroscience laboratory, they investigate the dynamics of brain function over different timescales. On the timescale of the lifespan they explore how brain function dynamically reorganizes with age and with declines in brain structure.
Foundations of Intelligent Technology
The group studies the foundations of intelligent behaviour in technology and artificial agents, including, for example, social and industrial robots, and autonomous vehicles.
Physics of Machine Learning and Complex Systems
This group is focused on the development of mathematical methods from statistical physics and information theory to modelling, inference, quantum computation, and statistical/ interpretable AI.
Social Human Agent Interactions (sHAI)
The sHAI group studies the interaction between humans and ‘social’ AI systems such as robots, virtual agents and chatbots. This topic is investigated both from a technical and from a psychological perspective.